Triangle and multi-hypothesis combination for video coding and decoding

Abstract

At least a method and an apparatus are provided for efficiently encoding or decoding video. For example, a plurality of different motion prediction modes for a current block are obtained. The current block is encoded or decoded based on a combination of the plurality of different motion prediction modes with corresponding weights for a plurality of sub-blocks of the current block, wherein the combination with the corresponding weights comprising an inter prediction mode and an intra prediction mode.

The invention claimed is: 
     
       1. A method comprising:
 obtaining information representative of a plurality of prediction regions; 
 partitioning a block of an image of a video into the plurality of prediction regions based on the obtained information, wherein a prediction region from the plurality of prediction regions has a corresponding shape, a corresponding weight, and a corresponding prediction mode, wherein shapes associated with the plurality of prediction regions comprise at least one of a triangular region and a non- triangular region, and wherein prediction modes associated with the plurality of prediction regions comprise at least an inter prediction mode and an intra prediction mode; 
 disabling at least one of a bi-directional optical flow prediction or a generalized bi-prediction prediction; and 
 decoding the block based on the plurality of prediction regions using the corresponding shape, the corresponding weight, and the corresponding prediction mode. 
 
     
     
       2. The method of  claim 1 , wherein the corresponding weight is applied to at least one sample inside a corresponding sub-block, and, wherein the corresponding weight is power of 2, and wherein the corresponding weight is based on an intra direction of the intra prediction mode. 
     
     
       3. The method of  claim 1 , wherein the corresponding prediction mode comprises at least one of a multi-shape prediction or a multi-hypothesis prediction, and wherein the multi-shape prediction or the multi-hypothesis prediction is indicated in at least one list of motion vector candidates. 
     
     
       4. A non-transitory computer-readable medium comprising instructions for performing the method of  claim 1  when executed by one of more processors. 
     
     
       5. The method of  claim 1 , wherein the method comprises:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disabling the bi-directional optical flow prediction. 
 
     
     
       6. The method of  claim 1 , wherein the method comprises:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disabling the generalized bi-prediction prediction. 
 
     
     
       7. An apparatus comprising:
 one or more processors configured to: 
 obtain information representative of a plurality of prediction regions; 
 partition a block of an image of a video into the plurality of prediction regions based on the obtained information, wherein a prediction region from the plurality of prediction regions has a corresponding shape, a corresponding weight, and a corresponding prediction mode, wherein shapes associated with the plurality of prediction regions comprise at least one of a triangular region and a non- triangular region, and wherein prediction modes associated with the plurality of prediction regions comprise at least an inter prediction mode and an intra prediction mode; 
 disable at least one of a bi-directional optical flow prediction or a generalized bi-prediction prediction; and 
 decode the block based on the plurality of prediction regions using the corresponding shape, the corresponding weight, and the corresponding prediction mode. 
 
     
     
       8. The apparatus of  claim 7 , wherein the corresponding weight is applied to at least one sample inside a corresponding sub-block, and wherein the corresponding weight is power of 2, and wherein the corresponding weight is based on an intra direction of the intra prediction mode. 
     
     
       9. The apparatus of  claim 7 , wherein the corresponding prediction mode comprises at least one of a multi-shape prediction or a multi-hypothesis prediction, and wherein the multi-shape prediction or the multi-hypothesis prediction is indicated in at least one list of motion vector candidates. 
     
     
       10. The apparatus of  claim 7 , wherein the one or more processors are configured to:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disable the bi-directional optical flow prediction. 
 
     
     
       11. The apparatus of  claim 7 , wherein the one or more processors are configured to:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disable the generalized bi-prediction prediction. 
 
     
     
       12. A method comprising:
 obtaining information representative of a plurality of prediction regions; 
 partitioning a block of an image of a video into the plurality of prediction regions based on the obtained information, wherein a prediction region from the plurality of prediction regions has a corresponding shape, a corresponding weight, and a corresponding prediction mode, wherein shapes associated with the plurality of prediction regions comprise at least one of a triangular region and a non-triangular region, and wherein prediction modes associated with the plurality of prediction regions comprise at least an inter prediction mode or an intra prediction mode; 
 disabling at least one of a bi-directional optical flow prediction or a generalized bi-prediction prediction; and 
 encoding the block based on the plurality of prediction regions using the corresponding shape, the corresponding weight, and the corresponding prediction mode. 
 
     
     
       13. A non-transitory computer-readable medium comprising instructions for performing the method of  claim 12  when executed by one of more processors. 
     
     
       14. The method of  claim 12 , wherein the corresponding prediction mode comprises at least one of a multi-shape prediction or a multi-hypothesis prediction, and wherein the multi-shape prediction or the multi-hypothesis prediction is indicated in at least one list of motion vector candidates. 
     
     
       15. The method of  claim 12 , wherein the method comprises:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disabling the bi-directional optical flow prediction. 
 
     
     
       16. The method of  claim 12 , wherein the method comprises:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disabling the generalized bi-prediction prediction. 
 
     
     
       17. An apparatus comprising:
 one or more processors configured to: 
 obtain information representative of a plurality of prediction regions; 
 partition a block of an image of a video into the plurality of prediction regions based on the obtained information, wherein a prediction region from the plurality of prediction regions has a corresponding shape, a corresponding weight, and a corresponding prediction mode, wherein shapes associated with the plurality of prediction regions comprises at least one of a triangular region and a non-triangular region, and wherein prediction modes associated with the plurality of prediction regions comprise at least an inter prediction mode or an intra prediction mode; 
 disable at least one of a bi-directional optical flow prediction or a generalized bi-prediction prediction; and 
 encode the block based on the plurality of prediction regions using the corresponding shape, the corresponding weight, and the corresponding prediction mode. 
 
     
     
       18. The apparatus of  claim 17 , wherein the corresponding prediction mode comprises at least one of a multi-shape prediction or a multi-hypothesis prediction, and wherein the multi-shape prediction or the multi-hypothesis prediction is indicated in at least one list of motion vector candidates. 
     
     
       19. The apparatus of  claim 17 , wherein the one or more processors are configured to:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disable the bi-directional optical flow prediction. 
 
     
     
       20. The apparatus of  claim 17 , wherein the one or more processors are configured to:
 based on the shapes associated with the plurality of prediction regions comprising at least one of the triangular region and the non-triangular region and the prediction modes associated with the plurality of prediction regions comprising at least the inter prediction mode and the intra prediction mode, disable the generalized bi-prediction prediction. 
 
     
     
       21. The method of  claim 12 , wherein the corresponding weight is applied to at least one sample inside a corresponding sub-block, and, wherein the corresponding weight is power of 2, and wherein the corresponding weight is based on an intra direction of the intra prediction mode. 
     
     
       22. The apparatus of  claim 17 , wherein the corresponding weight is applied to at least one sample inside a corresponding sub-block, and wherein the corresponding weight is power of 2, and wherein the corresponding weight is based on an intra direction of the intra prediction mode.